Lucila Sackmann‐Sala
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 10%
- Molecular Biology
- Epidemiology
- Genetics
- Co-authors
- John J. KopchickDarlene E. BerrymanEllen R. LubbersEdward O. ListDiana Cruz‐TopeteJuan DingShigeru OkadaElahu S. Gosney
- Topics
- Adipose Tissue and Metabolism (9 papers)Growth Hormone and Insulin-like Growth Factors (8 papers)Adipokines, Inflammation, and Metabolic Diseases (6 papers)
- Journals
- Endocrine ReviewsThe Journal of Clinical Endocrinology & MetabolismJournal of Applied Physiology
- Partner nations
- United StatesFranceSpain
In The Last Decade
Lucila Sackmann‐Sala
22 papers receiving 616 citations
Peers
Comparison fields: 5 of 78
- Endocrinology, Diabetes and Metabolism 295
- Physiology 243
- Molecular Biology 150
- Epidemiology 135
- Genetics 71
Countries citing papers authored by Lucila Sackmann‐Sala
This map shows the geographic impact of Lucila Sackmann‐Sala's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lucila Sackmann‐Sala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucila Sackmann‐Sala more than expected).
Fields of papers citing papers by Lucila Sackmann‐Sala
This network shows the impact of papers produced by Lucila Sackmann‐Sala. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lucila Sackmann‐Sala. The network helps show where Lucila Sackmann‐Sala may publish in the future.
Co-authorship network of co-authors of Lucila Sackmann‐Sala
This figure shows the co-authorship network connecting the top 25 collaborators of Lucila Sackmann‐Sala. A scholar is included among the top collaborators of Lucila Sackmann‐Sala based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lucila Sackmann‐Sala. Lucila Sackmann‐Sala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 4 | |
| 3 | 30 | |
| 4 | 17 | |
| 5 | 15 | |
| 6 | 16 | |
| 7 | 42 | |
| 8 | 10 | |
| 9 | 9 | |
| 10 | 78 | |
| 11 | 71 | |
| 12 | 12 | |
| 13 | 16 | |
| 14 | 24 | |
| 15 | 1 | |
| 16 | 24 | |
| 17 | 143 | |
| 18 | 25 | |
| 19 | 21 | |
| 20 | 1 |
About Lucila Sackmann‐Sala
Lucila Sackmann‐Sala is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Physiology, having authored 22 papers that have together received 626 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (9 papers), Growth Hormone and Insulin-like Growth Factors (8 papers) and Adipokines, Inflammation, and Metabolic Diseases (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (295 citations), Aging (17 citations) and Physiology (243 citations). Lucila Sackmann‐Sala has collaborated with scholars based in United States, France and Spain. Frequent co-authors include John J. Kopchick, Darlene E. Berryman, Ellen R. Lubbers, Edward O. List, Diana Cruz‐Topete, Juan Ding, Shigeru Okada, Elahu S. Gosney, Vincent Goffin and Bruce Kelder. Their work appears in journals such as Endocrine Reviews, The Journal of Clinical Endocrinology & Metabolism and Journal of Applied Physiology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.